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Relational and XML Data Exchange (Paperback)
Loot Price: R795
Discovery Miles 7 950
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Relational and XML Data Exchange (Paperback)
Series: Synthesis Lectures on Data Management
Expected to ship within 10 - 15 working days
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Data exchange is the problem of finding an instance of a target
schema, given an instance of a source schema and a specification of
the relationship between the source and the target. Such a target
instance should correctly represent information from the source
instance under the constraints imposed by the target schema, and it
should allow one to evaluate queries on the target instance in a
way that is semantically consistent with the source data. Data
exchange is an old problem that re-emerged as an active research
topic recently, due to the increased need for exchange of data in
various formats, often in e-business applications. In this lecture,
we give an overview of the basic concepts of data exchange in both
relational and XML contexts. We give examples of data exchange
problems, and we introduce the main tasks that need to addressed.
We then discuss relational data exchange, concentrating on issues
such as relational schema mappings, materializing target instances
(including canonical solutions and cores), query answering, and
query rewriting. After that, we discuss metadata management, i.e.,
handling schema mappings themselves. We pay particular attention to
operations on schema mappings, such as composition and inverse.
Finally, we describe both data exchange and metadata management in
the context of XML. We use mappings based on transforming tree
patterns, and we show that they lead to a host of new problems that
did not arise in the relational case, but they need to be addressed
for XML. These include consistency issues for mappings and schemas,
as well as imposing tighter restrictions on mappings and queries to
achieve tractable query answering in data exchange. Table of
Contents: Overview / Relational Mappings and Data Exchange /
Metadata Management / XML Mappings and Data Exchange
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